International Journal of Community Medicine and Public Health

Arumugam V et al. Int J Community Med Public Health. 2022 Dec;9(12):4571-4579

http://www.ijcmph.com

pISSN 2394-6032 | eISSN 2394-6040

Prevalence and risk factors of generalized anxiety disorder among adult COVID-19 survivors in Cuddalore district, Tamil Nadu

Arumugam V., Annie I. K.*, John William Felix A.


Department of Community Medicine, RMMCH, Annamalai University, Tamil Nadu, India

Received: 16 October 2022

Revised: 30 October 2022

Accepted: 01 November 2022

*Correspondence:

Dr. Annie I. K.,

E-mail: anndhm2003@yahoo.com

Copyright: © the author(s), publisher and licensee Medip Academy. This is an open-access article distributed under the terms of the Creative Commons Attribution Non-Commercial License, which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.

ABSTRACT

Background: The infectious disease pandemic (COVID-19) has not only affected the physical health but also the psychosocial health of the infected population by increasing anxiety and stress. Our aim of this study is to estimate the generalized anxiety disorder (GAD) among the COVID-19 survivors in Cuddalore district, Tamil Nadu.

Methods: A community -based descriptive cross-sectional study was carried out among 330 COVID-19 survivors in Cuddalore district, Tamil Nadu during December 2021 to May 2022. A predesigned and pretested, semi-structured proforma was used to collect data about the basic socio-demographic variables and COVID-19 infection related variables. A standardised 7 item GAD scale (GAD 7) was used for screening symptoms of anxiety. The presence of symptoms of anxiety was defined by a GAD 7 score of 8 and above. A p<0.05 was considered statistically significant.

Results: Out of 330 study participants, 15.8% of them had symptoms of anxiety with GAD 7 score of >8. We found significant level of anxiety with age, female gender, marital status, socio-economic status, and presence of co-morbidity, Similarly, COVID-19 related factors like duration of hospital stay, family members either being affected or died due to COVID-19 infection were significantly associated with high level of anxiety.

Conclusions: During this COVID-19 pandemic, the symptoms GAD was much higher among the COVID-19 survivors. A timely diagnosis and management are essential, by creating awareness at all levels of health care personal in the health system.

Keywords: GADs, COVID-19 survivors, Pandemic, Cuddalore

INTRODUCTION

The COVID-19 infection which was declared as a pandemic by WHO in March 2020 has affected the physical, mental and social wellbeing of people around the world.1 As of June 2022, there are 532,887,351 confirmed cases of COVID-19, including 6,307,021 deaths, reported to WHO. India has reported 43,230,101 confirmed cases of COVID-19 and 524,771 deaths.2 All possible measures were taken to contain the disease and to reduce its spread like quarantine and lockdown, restricting the movement of the people. However, restrictions of social interaction, severity of the infection and increasing mortalities due to COVID-19 had a negative impact on the psychological well-being of the individuals and the whole society.3Those infected by COVID-19 have experienced feeling of trauma due to hospitalization, isolation and stigmatization from family and friends after released or recovered from quarantine or isolation due to the very nature of the virulent virus.

GAD is one of the most common mental disorders, which produces fear, worry, and a constant feeling of being overwhelmed. It is characterized by persistent, excessive, and unrealistic worry about everyday chores. These worries could be a multifocal such as health, family, finance, and the future. It is excessive, difficult to control, and is often accompanied by many non-specific psychological and physical symptoms and the prominent feature is excessive worry.4 Worldwide, one of the leading causes of health burden was a mental disorder such as anxiety and depression before 2020. The emergence of the COVID-19 pandemic has further created an environment causing unusual disruption, panic and stress in every aspect of human living condition worsening the mental health.5 Therefore, the long term psychological consequences due to COVID-19 infection should be considered among vulnerable population. Anxiety disorder is one of the most frequently diagnosed psychiatric disorder in COVID-19 survivors.6

Therefore, the need for up-to-date information on the mental health impacts of COVID-19 is important in preparing the health system to take appropriate responses. Hence, this study, is to estimate the prevalence of the GAD and to find out associated risk factors among adult COVID-9 survivors in Cuddalore district of Tamil Nadu, India.

METHODS

Study design and area

A community-based, descriptive cross-sectional study was conducted in Cuddalore district of Tamil Nadu, India. Cuddalore district consists of 14 Panchayat unions (Blocks) and 63 Primary health centres (PHCs) with a total population of 2605914. This study was carried out over a period of 6 months from December 2021 to May 2022.

Sample size and sampling technique

This study is a part of dissertation work.Sample size was calculated based on the prevalence of post-traumatic stress disorder among Italian population in COVID-19 pandemic was found to be 29%.7 Taking this as prior information and by using nMaster software, 317 participants required for estimating the expected proportion with 5% absolute precision and 95% confidence. The study was conducted among 330 participants. Out of fourteen blocks of Cuddalore health unit district, five blocks were selected and from each selected block one PHC was selected for convenience. COVID-19-line list were collected from each selected block. The participants, 66 were selected each from the five selected PHCs by using simple random sampling method (Figure 1). Each of these participants were contacted through the mobile phone for their willingness to participate in the study. With those who were available and agreed to participate in the study, a time for personal interview was sought and was conducted at the pre fixed time and place after obtaining an informed consent.

Figure 1: The sampling procedure.
Figure 1: The sampling procedure.

Data collection tool

A predesigned, pretested semi structured interview schedule containing demographic characteristics like age, sex, marital status, educational status, occupational status, types of family, socio-economic status, and presence of comorbid illnesses was used. The COVID-19 infection–related factors like types of admission, course of treatment received and post recovery covid complications were also collected using the questionnaire. Symptoms of GAD were measured by using a standardised GAD-7 questionnaire containing 7 items, measured on 4-point Likert scale. A score of 8 and above were considered for clinically significant symptoms of anxiety.

Inclusion criteria

Individuals aged between 18 to 65, a resident in Cuddalore district, who were tested positive for COVID-19, and were either hospitalized or admitted in covid care center or home isolated and recovered from the disease, between one month to one year post covid infection at time of study.

Exclusion criteria

Individuals who bedridden, mentally challenged were excluded from this study.

Ethical consideration

This study was presented to the human ethical committee of Rajah Muthiah medical college, Annamalai university, and ethical approval was obtained prior to the study.

Data analysis

The collected data were entered in excel format and the database was established using SPSS (Statistical Package for the Social Sciences) statistical software for analysis. Categorical variables were expressed as frequencies and percentages. Chi-square and binominal logistic regression was used for statistical analysis. Differences were considered as the statistically significant if p value of <0 .05.

RESULTS

A total of 330 subjects were studied of whom, mean age was 35.5 years, and 216 (65%) of them were male. Majority of them 260 (78.8%) were married and a quarter of them were illiterate 47 (25.2%). Majority of the participants 115 (34.8%) were skilled workers and 64 (19.4%) were professionals, and 49 (14.8%) were health care workers. They were predominantly from the rural area, 238 (72.1%) and from nuclear families, 183 (55.5%). Majority of them belonged to middle class families, 114 (35%) (Table 1).

Most of study participants had undergone care at covid care centre 187 (56.7%) and 114 (34.5%) of them had received admission and care in the hospital. The number of days of treatment received varied for these participants with minimum of five days for 178 (53.6%) of them and up to 10 days for 98 (30%) participants and rest of them 54 (16.4%) received for more than 11 days. Most of this study participants 253 (76.7%) had mild to moderate illness requiring oral drugs alone and 51 (15.5%) of them were considered to have moderate to severe illness requiring injectable medications along with oral medications. Those who received oxygen support 26 (6.9%) had severe to life threatening illness. Around half of the participants 160 (48.5%) had their family members also been affected and among the affected family members 27 (8.2%) had died due to COVID-19. About 45 (13.6%) lost their job as well as the income due to COVID-19 infection. And about 20 (6.1%) had faced avoidance from their relatives and neighbours as shown in the Table 2.

As post COVID-19 infections, participants had various symptoms. Majority of the study participants had complaints of fatigue and myalgia,178 (53.9%) and a quarter of them had developed breathing problems (24.5%), where as 3.6% had cough, 1.8% had hair fall,1.5% had experienced of chest pain, and 0.6% of them had headache, while 0.9% of them had loss of appetite and loss of weight (Table 3).

Prevalence of generalised anxiety disorder in our study was 15.8% with 52 of the participants scoring more than 8 in the generalized anxiety disorder 7 score. A majority 231 (70%) of them had none to minimal anxiety (generalized anxiety disorder 7 score 0-4), and 47 (14.2%) of them had minimal to mild anxiety (generalized anxiety disorder 7 score 5-7), and 7.3% of them had mild anxiety (generalized anxiety disorder 7 score 8-9) and 6.1% of them had moderate anxiety (generalized anxiety disorder 7 score 10-14). A few, 2.4% of them had the severe anxiety level with generalized anxiety disorder 7 score 15-21 as shown in the Table 4.

We found a significant association between the level of anxiety and increasing age (p=0.006), female gender (p=0.02), marital status (p=0.02) being widow/widower with a higher level of anxiety. Compare to unmarried participants, level of anxiety was higher for married persons. Participants belonging to lower socio-economic status had a significantly higher level of anxiety as compared to those in the upper and middle socio-economic conditions (p=0.01). Participants with co-morbidities had significantly higher level of anxiety (p<0.001) as compared to those who had no co-morbidities (Table 5).

Our study has shown significant association between anxiety and COVID-19 related factors such as place of admission (p<0.001), where those admitted at hospital were more at risk of developing anxiety as compared to those at covid care centre and on home quarantine. Number of days of hospital stay (p<0.001), type of treatment received (p<0.001), (those received oxygen support had more anxiety as compared to other treatments). Those participants whose family members contracted COVID-19 infection had a significant association (p=0.003) and whose family members had died due to COVID-19 infection (p=0.003) with anxiety. A statistically significant association was noted with a higher level of anxiety and participants who had complications (p<0.001) or persons experienced avoidance by relatives as well as neighbours (p<0.01) (Table 6).

The step wise binary logistic regression analysis for gender, COVID infection contracted family members Avoidance by the relatives, duration of hospital stays and place of being admitted during covid infection has been identified as the most significant variable. The results indicated that, being a female was 2.5 times at higher risk of developing anxiety as compared to male. Those with family members contracted COVID-19 infection, were 2.1 times at higher risk of developing anxiety as compared to those, whose family members were not contracted the disease. Being Avoided by the relatives and neighbours were 4.1 times at higher risk of developing anxiety. Those participants who had a longer duration of institutional stay for COVID-19 infection were 5.8 times at higher risk of developing anxiety. Based on the place of admission, those in covid care centre were 9.7 times at higher risk of developing anxiety as compared to home quarantine and those who were admitted in the hospital were at 56.9 times of higher risk of developing anxiety as compared to home quarantine (Table 7).

Table 1: Demographic characteristics of the study participants, (n=330).
Table reproduced from source PDF page 4
Table 2: COVID-19 infection management details of the study participants.
Table reproduced from source PDF page 4, part 1 of 2
Table reproduced from source PDF page 5, part 2 of 2
Table 3: Distribution of study participants according to post COVID-19 symptoms.
Table reproduced from source PDF page 5
Table 4: Level of symptoms of anxiety of the participants.
Table reproduced from source PDF page 5
Table 5: Association between anxiety and socio-demographic characteristics of the participants.
Table reproduced from source PDF page 5, part 1 of 2
Table reproduced from source PDF page 6, part 2 of 2
Table 6: Association between anxiety and COVID-19 related variables.
Table reproduced from source PDF page 6

*Statistically significant p<0.05.

Table 7: Logistic regression analysis with anxiety as dependent variables and selected independent variables.
Table reproduced from source PDF page 7

*Statistically significant p<0.05.

DISCUSSION

Our study aimed at estimating the prevalence of GAD among covid-19 survivors, and is found to be 15.8%. This is similar to some other studies, where they have found prevalence varying from 8% to 39. 6%.8-11 According to DSM-5, estimated lifetime prevalence of GAD, worldwide was 3.7% pre-pandemic and in India 0.5%.1,12 However, studies done during this pandemic has shown much higher prevalence of GAD, 22.5% particularly among COVID-19 survivors.13 And according to Chen et al 22.6% experienced moderate to severe GAD during the early rapid outbreak in China.14 In a systematic review done by Da silva et that 52.6% of the general population had a higher prevalence of anxiety symptoms, followed by medical health workers corresponding to 49.9% and infected patients 8.0%.15

We assessed various factors such as demographic factors, the stigma related to COVID-19, type of admission, number of hospital stays, treatment received during the infective period, and any pre-existing chronic medical illnesses for its association with GAD. We found in our study female gender had the higher risk of developing anxiety as compared to male (p=0.02). According to DSM-5, GAD affects the female (55-60%) more than male and this finding is consistent with other studies as well.12,16-19 The gender dissimilarities might be due to the higher genetic sensitivity of women toward disturbing situations, their hormonal imbalances.11 Females are more easily socialized and are more open and are even strongly expresses their emotions.20 Female are the main caregiver in the family, being responsible for the household tasks and care of the children, which makes them vulnerable for the anxiety.21 Our study found that anxiety was highest in individuals who were divorced or widowed, Similar findings have been observed in other studies.22,23 An increased level of anxiety in married participants were noted as compared to the unmarried counterparts and which is a similar findings in other studies.15-19 This could be due to an increased sense of responsibility felt by the married persons for their family’s health, and economic stability.

Our study further explored individuals with pre-existing chronic diseases such as diabetes mellitus and hypertension and has shown an increased anxiety and this findings consistent with many other studies.22,24-27 This study has observed that participants, whose family members were affected by COVID-19 infection, were at higher risk of developing anxiety and this finding was consistent with other study done by Chen et al.14 Those who had been avoided by the relatives and neighbours developed more anxiety, possibly due to an intensified fear of the virus and worry about close relatives and friends being infected.28 Our study further observed that as the number of days being admitted increases, they were at higher risk of developing anxiety. As the severity of disease increases the anxiety also increases, which can be possible due to impending risk of death and fear of hospitalization.29

CONCLUSION

COVID-19 pandemic has affected individuals both physically and psychologically. The result of our study among adult COVID-19 survivors has shown a higher prevalence of generalized anxiety symptoms. Higher anxiety symptoms were associated with certain socio-demographic factors like female gender, lack of social and emotion support (widow/widower), worry about discrimination or avoidance experienced from family members, fear of infecting family members and others and the possible loss of income to the family. Therefore, it is important to have a psychosocial recovery of the patients after COVID-19 infection.

Our study being cross-sectional in nature it does not establish the cause-effect relationship. Although prospective studies that could provide potential insight into causation, it may be difficult to conduct such studies during the pandemic. This study was conducted in a small population in south India, and so may not be able to generalise to other populations in India. Although GAD 7 scale is a widely accepted tool for screening GAD, clinical diagnosis needs to be established. According to DSM-5 for clinical diagnosis of GAD, need continued observation over a period of 6 months. Therefore, creating awareness at all levels of health management, particularly at the grass root level, is required to prevent, and to have a timely diagnosis of the generalise anxiety disorder. It is also important and appropriate to manage and treat GAD by implementing appropriate interventions and programs such as periodic screening among the vulnerable population.

ACKNOWLEDGMENTS

Author would like to thanks to all study participants, all the faculty, field staffs and staff of department of community medicine, RMMCH, Annamalai university.

Funding: No funding sources

Conflict of interest: None declared

Ethical approval: The study was approved by the Institutional Ethics Committee

REFERENCES

  1. 1. WHO Director-General’s opening remarks at the media briefing on COVID-19. 2020. Available at: https://www.who.int/director-general/speeches/detail/who-director-general-s-opening-remarks-at-the-media-briefing-on-covid-19---11-march-2020. Accessed on 15 June 2022.
  2. 2. India: WHO Coronavirus Disease (COVID-19) Dashboard with Vaccination Data. WHO Coronavirus (COVID-19) Dashboard with Vaccination Data. Available at: https://covid19.who.int/region/searo/country/in. Accessed on 15 June 2022.
  3. 3. Asim M, Van Teijlingen E, Sathian B. Coronavirus Disease (COVID-19) and the risk of Post-Traumatic Stress Disorder: A mental health concern in Nepal. Nepal J Epidemiol. 2020;10(2):841-4.
  4. 4. Munir S, Takov V. Generalized Anxiety Disorder. In: StatPearls. Treasure Island (FL): StatPearls Publishing; 2022. Available from: http://www.ncbi.nlm.nih.gov/books/NBK441870/. Accessed on 8 October 2022.
  5. 5. Santomauro DF, Mantilla Herrera AM, Shadid J, Zheng P, Ashbaugh C, Pigott DM, et al. Global prevalence and burden of depressive and anxiety disorders in 204 countries and territories in 2020 due to the COVID-19 pandemic. The Lancet. 2021;398(10312):1700-12.
  6. 6. Taquet M, Luciano S, Geddes JR, Harrison PJ. Bidirectional associations between COVID-19 and psychiatric disorder: retrospective cohort studies of 62 354 COVID-19 cases in the USA. Lancet Psychiat. 2021;8(2):130-40.
  7. 7. Forte G, Favieri F, Tambelli R, Casagrande M. COVID-19 Pandemic in the Italian Population: Validation of a Post-Traumatic Stress Disorder Questionnaire and Prevalence of PTSD Symptomatology. Int J Environ Res Public Health. 2020;17(11):4151.
  8. 8. Silva MT, Caicedo Roa M, Martins SS, Da Silva ATC, Galvao TF. Generalized anxiety disorder and associated factors in adults in the Amazon, Brazil: A population-based study. J Affect Disord. 2018;236:180-6.
  9. 9. Wilson W, Raj JP, Rao S, Ghiya M, Nedungalaparambil NM, Mundra H, et al. Prevalence and Predictors of Stress, anxiety, and Depression among Healthcare Workers Managing COVID-19 Pandemic in India: A Nationwide Observational Study. Indian J Psychol Med. 2020;42(4):353-8.
  10. 10. Devi D, Monica V, Santhosh R, Raghavan V, Poornachandrika P. Psychological morbidity among post-COVID-19 patients: A cross-sectional study from Chennai, South India. Indian J Ment Health Neurosci. 2021;4(1):10-7.
  11. 11. Pashazadeh Kan F, Raoofi S, Rafiei S, Khani S, Hosseinifard H, Tajik F, et al. A systematic review of the prevalence of anxiety among the general population during the COVID-19 pandemic. J Affect Disord. 2021;293:391-8.
  12. 12. Manjunatha N, Jayasankar P, Suhas S, Rao G, Gopalkrishna G, Varghese M, et al. Prevalence and its correlates of anxiety disorders from India’s National Mental Health Survey 2016. Ind J Psychiat. 2022;64(2):138.
  13. 13. Imran J, Nasa P, Alexander L, Upadhyay S, Alanduru V. Psychological distress among survivors of moderate-to-critical COVID-19 illness: A multicentric prospective cross-sectional study. Ind J Psychiatr. 2021;63(3):285-9.
  14. 14. Chen H, Gao J, Dai J, Mao Y, Wang Y, Chen S, et al. Generalized anxiety disorder and resilience during the COVID-19 pandemic: evidence from China during the early rapid outbreak. BMC Public Health. 2021;21(1):1830.
  15. 15. Da Silva ML, Rocha RSB, Buheji M, Jahrami H, Cunha K da C. A systematic review of the prevalence of anxiety symptoms during coronavirus epidemics. J Health Psychol. 2021;26(1):115-25.
  16. 16. American Psychiatric Association, American Psychiatric Association, editors. Diagnostic and statistical manual of mental disorders: DSM-5. 5th ed. Washington, D.C: American Psychiatric Association. 2013.
  17. 17. Luo Z, Li Y, Hou Y, Liu X, Jiang J, Wang Y, et al. Gender-specific prevalence and associated factors of major depressive disorder and generalized anxiety disorder in a Chinese rural population: the Henan rural cohort study. BMC Public Health. 2019;19(1):1744.
  18. 18. Ruscio AM, Hallion LS, Lim CCW, Aguilar-Gaxiola S, Al-Hamzawi A, Alonso J, et al. Cross-sectional Comparison of the Epidemiology of DSM-5 Generalized Anxiety Disorder Across the Globe. JAMA Psychiatr. 2017;74(5):465-75.
  19. 19. Preti A, Demontis R, Cossu G, Kalcev G, Cabras F, Moro MF, et al. The lifetime prevalence and impact of generalized anxiety disorders in an epidemiologic Italian National Survey carried out by clinicians by means of semi-structured interviews. BMC Psychiatr. 2021;21(1):48.
  20. 20. Psychological health, sleep quality, and coping styles to stress facing the COVID-19 in Wuhan, China | Translational Psychiatry. Available at: https://www.nature.com/articles/s41398-020-00913-3. Accessed on 11 October 2022.
  21. 21. Frontiers, Psychological Impact and Associated Factors During the Initial Stage of the Coronavirus (COVID-19) Pandemic Among the General Population in Spain. Available at: https://www.frontiersin.org/articles/10.3389/fpsyg.2020.01540/full. Accessed on 11 October 2022.
  22. 22. Lei L, Huang X, Zhang S, Yang J, Yang L, Xu M. Comparison of Prevalence and Associated Factors of Anxiety and Depression Among People Affected by versus People Unaffected by Quarantine During the COVID-19 Epidemic in Southwestern China. Med Sci Monit. 2020. Available at: https://medscimonit.com/abstract/index/idArt/924609. Accessed on 11 October 2022.
  23. 23. Zhao H, He X, Fan G, Li L, Huang Q, Qiu Q, et al. COVID-19 infection outbreak increases anxiety level of general public in China: involved mechanisms and influencing factors. J Affect Disord. 2020;276:446-52.
  24. 24. Gao J, Zheng P, Jia Y, Chen H, Mao Y, Chen S, et al. Mental health problems and social media exposure during COVID-19 outbreak. PLOS ONE 2020;15(4):e0231924.
  25. 25. Alkhamees AA, Alrashed SA, Alzunaydi AA, Almohimeed AS, Aljohani MS. The psychological impact of COVID-19 pandemic on the general population of Saudi Arabia. Compr Psychiatr. 2020;102:152192.
  26. 26. Guo Q, Zheng Y, Shi J, Wang J, Li G, Li C, et al. Immediate psychological distress in quarantined patients with COVID-19 and its association with peripheral inflammation: A mixed-method study. Brain Behav Immun. 2020;88:17-27.
  27. 27. Newby JM, O’Moore K, Tang S, Christensen H, Faasse K. Acute mental health responses during the COVID-19 pandemic in Australia. PLOS ONE. 2020;15(7):e0236562.
  28. 28. Risk factors for psychological distress during the COVID‐19 pandemic in Israel: Loneliness, age, gender, and health status play an important role-Horesh-2020-Bri J Heal Psychol- Wiley Online Library. Available at: https://bpspsychub.onlinelibrary.wiley.com/doi/10.1111/bjhp.12455. Accessed on 11 October 2022.
  29. 29. Da Silva ML. A systematic review of the prevalence of anxiety symptoms during coronavirus epidemics. J Health Psychol. 2021;26(1):115-25.